ai-orchestrator / setup / langgraph
Setup guide

Set up ai-orchestrator in LangGraph

communityunknownunknownno verified config · noindex

Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.


01Configuration
# ai-orchestrator via LangGraph # transport: unknown # launch: the server's install method

LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.


02Steps
  1. Make sure LangGraph is installed and up to date.
  2. Wire the server into LangGraph using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart LangGraph and confirm ai-orchestrator’s tools appear.

03Other runtimes

04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:49Z
sourcesGitHub repo search [p4]

Next step

Ship ai-orchestrator to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives

Set up ai-orchestrator MCP in LangGraph — MCPExplorer